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Stats page for backtest/live trading

Project description

Stellar Stats

A Streamlit-based trading statistics dashboard that analyzes backtest and live trading performance with comprehensive metrics and visualizations.

Features

  • Multi-account performance analysis - Compare performance across different trading accounts
  • Benchmark comparison - Compare against market indices with leverage options
  • Flexible time periods - YTD, inception-to-date, or custom date ranges
  • Comprehensive metrics - Performance metrics, drawdown analysis, return distributions
  • Trade analysis - Detailed breakdowns by underlying assets and slippage tracking
  • Round-trip analysis - Extract and analyze complete trading round-trips
  • Investor tracking - Calculate investor-specific returns

Installation

pip install stellar-stats

Usage

Run the Dashboard

stellar-stats run

This launches the Streamlit web interface for interactive analysis.

Configuration

Create an optional config.toml file to define:

  • Account configurations and data directories
  • Custom benchmark symbols
  • API tokens (Tushare for Chinese market data)

The system will auto-discover account directories if no configuration is provided, which is useful for viewing backtesting results.

Data Sources

  • Local files: CSV/HDF/Parquet files containing returns, trades, round trips, and slippage data
  • Market data: yfinance for global benchmark symbols
  • Chinese markets: Tushare API (requires token configuration)
  • Investor data: Optional investors.csv for investor-specific analysis

License

MIT

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